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	<h1>Correlated random effects; the orange-data model revisited</h1>
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                     Code: <a href="orange_cor.tpl">orange_cor.tpl</a><br>
                     Data: 		<a href="orange_cor.dat">orange_cor.dat</a><br>
                     Initial values: <a href="orange_cor.pin">orange_cor.pin</a><br>
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<h3><strong>Model description</strong></h3>

The purpose of this example is to show one way of implementing correlated random effects.
The example is supposed to be a template for building models with correlated random effects, AND THE 
PROVIDED DATASET IS NOT MEANT TO GIVE ANY MEANINGFUL RESULTS. 
As a starting point we take the logistic growth-curve model studied the 
<a HREF="../orange/orange.html"> orange data </a> example. In that model there
are three parameters (<FONT FACE="Symbol">f</FONT><sub>2</sub>, 
<FONT FACE="Symbol">f</FONT><sub>2</sub>, <FONT FACE="Symbol">f</FONT><sub>3</sub>), 
of which only <FONT FACE="Symbol">f</FONT><sub>1</sub> is associated with a random effect.
Here, we extend the model by including a random effect for all three parameters,
and the random effects are allowed to be correlated as explained in
the <A href="http://otter-rsch.com/admbre/admbre.pdf">ADMB-RE manual</A>.
 

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